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METHOD AND APPARATUS OF PROCESSING INFORMATION, METHOD AND APPARATUS OF RECOMMENDING INFORMATION, ELECTRONIC DEVICE, AND STORAGE MEDIUM

机译:推荐信息,电子设备和存储介质的处理信息,方法和装置的方法和装置

摘要

The present disclosure provides a method of processing information, an apparatus of processing information, a method of recommending information, an electronic device, and a storage medium. The method includes: obtaining a tree structure parameter of a tree structure, wherein the tree structure is configured to index an object set used for recommendation; obtaining a classifier parameter of a classifier, wherein the classifier is configured to sequentially predict, from a top layer of the tree structure to a bottom layer of the tree structure, a preference node set whose probability of being preferred by a user is ranked higher in each layer, and a preference node set of each layer subsequent to the top layer of the tree structure is determined based on a preference node set of a previous layer of the each layer; and constructing a recalling model based on the tree structure parameter and the classifier parameter. The recalling model constructed according to the embodiments of the present disclosure uses the tree structure parameter and the classifier parameter as model parameters, which optimizes the training process and use process of the recalling model, thereby improving the recalling result of the recalling model.
机译:本公开提供了一种处理信息的方法,处理信息的装置,推荐信息,电子设备和存储介质的方法。该方法包括:获得树结构的树结构参数,其中树结构被配置为索引用于推荐的对象集;获取分类器的分类器参数,其中分类器被配置为从树结构的顶层到树结构的底层顺序地预测,其偏好节点集其由用户优选的概率排列基于每层的前一层的偏好节点组来确定在树结构的顶层之后的每个层和偏好节点集。基于树结构参数和分类器参数构建回忆模型。根据本公开的实施例构造的召回模型使用树结构参数和分类器参数作为模型参数,其优化了训练过程和召回模型的使用过程,从而提高了召回模型的回顾结果。

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